Correlate EDR, IAM, and cloudsignals into a singlelive attack graph.
Spakto's Security Intelligence Fabric ingests telemetry from every layer of your environment — endpoints, identity, cloud, network — and fuses it into one continuously updated attack graph that shows exactly what attackers see.
Your tools see fragments.
Spakto sees the attack.
EDR sees malicious process execution. IAM sees a suspicious login. The cloud sees a privilege escalation. Individually, each looks like noise. Connected, they form the kill chain. The Security Intelligence Fabric makes those connections — automatically, in real time.
From raw telemetry
to attack intelligence
Every signal passes through a 4-stage fusion pipeline before entering the live attack graph. Each stage runs as a streaming transformation — zero batch latency, continuous output.
Raw Signal Ingestion
- ›Native connectors for 50+ platforms
- ›Streaming ingestion via API, webhook, syslog
- ›Automatic backpressure management
- ›End-to-end encryption in transit
Schema Normalization
- ›Vendor field mapping to universal schema
- ›Type coercion and timestamp normalization
- ›Deduplication within 500ms windows
- ›Missing field inference and imputation
Cross-domain Correlation
- ›Entity resolution across signal boundaries
- ›Session stitching for same-actor events
- ›Graph join: host → identity → cloud
- ›MITRE ATT&CK technique tagging
AI-Powered Enrichment
- ›Attacker intent classification
- ›Blast radius and impact scoring
- ›Crown jewel proximity calculation
- ›Response playbook assignment
Every layer of your
environment, unified
Spakto integrates 50+ security tools across endpoint, identity, cloud, network, and DevOps platforms — normalizing signals into a single correlated schema.
across 6 categories
Isolated signals.
One attack chain.
Three tools see the same attack — none of them connect the dots alone. The Correlation Engine joins them in under 2 seconds, surfacing the full kill chain automatically.
EDR host alerts joined with IAM activity, session tokens, and authenticated users on the same machine
Suspicious IAM events linked to downstream AWS/Azure/GCP API calls, role assumptions, and data access chains
NetFlow anomalies correlated with endpoint process trees — C2 and lateral movement detected before crown jewels are reached
Cloud API events cross-referenced with storage access and egress volumes — exfiltration chains identified early
Not a replacement.
A layer above.
Your SIEM stores and searches logs. Spakto's Intelligence Fabric correlates those signals into attacker traversal paths. They work together — and together they are significantly more effective.
Built for every security
function in your org
From SOC analysts chasing threats to IR teams reconstructing breaches — the Intelligence Fabric is the shared substrate that makes every security function faster and more effective.
Stop chasing individual alerts. The fabric correlates thousands of signals into a handful of high-fidelity attack chains — each with full context, attacker intent, and suggested response.
FABRIC.query({
type: "active_attack_chains",
min_confidence: 0.85,
domains: ["endpoint","identity","cloud"],
order_by: "severity DESC"
})- ›Real-time attack chain detection
- ›Cross-domain signal correlation
- ›MITRE ATT&CK technique mapping
- ›AI-suggested response playbooks
After a breach, trace backward through correlated signals to reconstruct the full attack chain — patient zero, every pivot, all affected assets — using the fabric's complete signal history.
FABRIC.timeline({
entity: "svc-deploy@corp.com",
window: "72h",
include: ["predecessors","successors"],
format: "kill_chain"
})- ›Complete signal audit trail
- ›Entity-centric timeline rebuild
- ›Patient-zero identification
- ›Full blast radius mapping
Query the unified signal graph for attacker behaviors spanning tool boundaries. The lateral movement your SIEM, EDR, and IAM each saw a piece of — but never connected.
FABRIC.traverse({
pattern: "T1078 -> T1021 -> T1078.004",
timeframe: "last_7d",
pivot_on: "identity",
crown_jewel_proximity: true
})- ›Cross-domain graph queries
- ›MITRE pattern matching
- ›Identity pivot hunting
- ›Crown jewel proximity alerts
One schema. Every source.
Before correlation can happen, raw signals from 50+ tools must be normalized to a single canonical schema. The normalization engine resolves field naming conflicts, type mismatches, timestamp skew, and vendor-specific quirks — in real time, at stream speed.
Live signal stream, always enriched.
Every ingested event is enriched with entity context, MITRE tactic tagging, blast-radius impact score, and graph node linkage — before it leaves the ingestion pipeline. No post-processing lag. No cold-path correlation delays.
Map actor to canonical identity node (USR / SVC / HOST)
Attach host, network, cloud resource context from asset graph
Map event type → tactic + technique via behavioral classifiers
Compute blast_radius_delta: impact if event is part of attack
Attach event to existing graph node or create new attack path
10,000 alerts become 3 attack chains.
Alert fatigue is an architecture problem. The Noise Suppression Layer collapses correlated signal clusters into high-fidelity attack paths using graph topology, behavioral fingerprinting, and temporal session stitching — without losing a single true positive.
Hash-based dedup of identical events within 30s sliding window. Eliminates duplicate agent reports and log duplicates.
Group signals sharing the same resolved entity (user, host, role). Collapses 100s of per-event alerts into entity-level sessions.
ML classifiers trained on known attacker behavioral patterns. Signals matching known false-positive patterns are suppressed.
Chain events within a session window into single attack sequences. 47 individual alerts become 1 lateral movement record.
Security Intelligence Fabric FAQs
Frequently asked
questions.
answered
It's a unified data layer that ingests, normalizes, and correlates security signals from every source in your environment — EDR, identity providers, cloud APIs, network telemetry, and SIEMs — and fuses them into a single attack graph rather than leaving them in isolated tool silos.
Spakto normalizes events to a common schema, then applies graph-based correlation: an EDR alert on a host is automatically joined with the IAM identities on that host, the cloud resources they access, and the network segments they can reach — creating a multi-dimensional picture of the attack.
Real-time. Most signal sources are correlated within seconds of ingestion via streaming pipelines. The attack graph is updated continuously as new events arrive.
Yes. Spakto provides an attack-graph query interface where you can ask: 'which signals on this host are part of an active attack path?' or 'show me all EDR events correlated with this identity over the last 24 hours.'
Spakto natively integrates with CrowdStrike, SentinelOne, Microsoft Defender, Okta, Azure AD, AWS IAM, GCP IAM, Splunk, Elastic, Palo Alto, Zscaler, and dozens more. Custom integrations are supported via API and webhook.
A SIEM collects and searches logs. The Security Intelligence Fabric correlates signals into attacker traversal paths. Where a SIEM shows you raw events, Spakto shows you what attack those events belong to, where the attacker is in the kill chain, and what they're likely to do next.
Instead of forwarding raw alerts, Spakto correlates thousands of signals into a small number of high-fidelity attack paths. A 10,000-alert day in your SIEM may correspond to 3-5 active attack chains in Spakto — each with full context and prioritized response.